Triple
T4376928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IFK Göteborg |
E99028
|
entity |
| Predicate | homeCityPopulationRankInSweden |
P25930
|
FINISHED |
| Object | second largest city |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: second largest city | Statement: [IFK Göteborg, homeCityPopulationRankInSweden, second largest city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeCityPopulationRankInSweden Context triple: [IFK Göteborg, homeCityPopulationRankInSweden, second largest city]
-
A.
cityRankInSwedenBySize
Indicates the relative position of a city in Sweden when cities are ordered by their size (typically population or area).
-
B.
hasPopulationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
C.
hasPopulationRankInEstonia
Indicates the relative position of an entity in the ordered list of populations within Estonia, such as its rank by population size compared to other entities in the country.
-
D.
hasPopulationRankInRegion
chosen
Indicates that an entity has a specific population-based rank or position within a defined geographic region.
-
E.
populationShareInFinland
Indicates the proportion of a given population or group relative to the total population within Finland.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3523ed220819090cef1a7933489d9 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.